About the team
The Seed LLM team is dedicated to advancing the next generation of LLMs and solving fundamental challenges in LLM development. Our areas of focus include model pretraining, posttraining, inference, memory capabilities, learning, interpretability and other related directions. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we explore methods to enhance applications through technological innovation.
Responsibilities
- Explore large-scale models and optimize systems.
- Data construction, instruction tuning, preference alignment, and model optimization.
- Improving relevant model capabilities, such as reasoning, code, math etc.
- In-depth research and exploration of future use cases.
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
- Demonstrated interest or project experience in LLM-related areas such as training, evaluation, or applications.
Preferred Qualifications
- Experience with machine learning, deep learning, or large-scale models through internships is preferred.
- Strong problem analysis and problem-solving skills and good communication and collaboration skills, with the ability to learn quickly and work effectively in a team.
